Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics

Laurits Tani, Diana Rand, Christian Veelken +1

The analysis of vast amounts of data constitutes a major challenge in modern high energy physics experiments. Machine learning (ML) methods, typically trained on simulated data, ar…